class_docstr: Variance function that relates the variance of a random variable
  to its mean. Defaults to 1.
docstr: Default variance function
  
  INPUTS:
     mu  -- mean parameters
  
  OUTPUTS: v
     v   -- ones(mu.shape)
docstr_tok: ["Default","variance","function","INPUTS",":","mu","--","mean","parameters","OUTPUTS",":","v","v","--","ones","(","mu.shape",")"]
code: def __call__(self, mu):
      """
      Default variance function
  
      INPUTS:
         mu  -- mean parameters
  
      OUTPUTS: v
         v   -- ones(mu.shape)
      """
  
      return np.ones(mu.shape, np.float64)
  
file_path: nipy/nipy/algorithms/statistics/models/family/varfuncs.py
imports: import numpy
label_desc: Use image node_id 1 for calling the VarianceFunction obj's underlying member method code with example usage: obj.__call__(mu) and returns: np